{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "Doing basic classifications with Decision Trees"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from sklearn.datasets import load_iris\n",
    "\n",
    "iris = load_iris()\n",
    "\n",
    "X = iris.data\n",
    "y = iris.target\n",
    "\n",
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, stratify=y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "DecisionTreeClassifier(class_weight=None, criterion='gini', max_depth=None,\n",
       "            max_features=None, max_leaf_nodes=None,\n",
       "            min_impurity_decrease=0.0, min_impurity_split=None,\n",
       "            min_samples_leaf=1, min_samples_split=2,\n",
       "            min_weight_fraction_leaf=0.0, presort=False, random_state=None,\n",
       "            splitter='best')"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.tree import DecisionTreeClassifier\n",
    "\n",
    "dtc = DecisionTreeClassifier()     #Instantiate tree class\n",
    "dtc.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.93333333333333335"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.metrics import accuracy_score\n",
    "\n",
    "y_pred = dtc.predict(X_test)\n",
    "accuracy_score(y_test, y_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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yEgDq/uvq6tDf358y3mAwqMZsMBjQ1dWV9vloobu7GwBw4403qssmT54MIHrE3e/3w2Aw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FYoEk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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "from sklearn import tree\n",
    "from sklearn.externals.six import StringIO\n",
    "import pydot\n",
    "from IPython.display import Image\n",
    "\n",
    "dot_iris = StringIO() \n",
    "tree.export_graphviz(dtc, out_file = dot_iris, feature_names = iris.feature_names) \n",
    "graph = pydot.graph_from_dot_data(dot_iris.getvalue())\n",
    "Image(graph.create_png())"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.11"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}
